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Mesh-RL proposes coupled subgrid reinforcement learning method

The Mesh-RL framework addresses slow reward propagation in large or sparse-reward RL environments by decomposing the state space into coupled subgrids. This spatial domain-decomposition approach aims to accelerate temporal-difference learning.

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22 hours ago